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The magnitude and causes of uncertainty in global model simulations of cloud condensation nuclei

Abstract:

Aerosol–cloud interaction effects are a major source of uncertainty in climate models so it is important to quantify the sources of uncertainty and thereby direct research efforts. However, the computational expense of global aerosol models has prevented a full statistical analysis of their outputs. Here we perform a variance-based analysis of a global 3-D aerosol microphysics model to quantify the magnitude and leading causes of parametric uncertainty in model-estimated present-day concentra...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5194/acp-13-8879-2013

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
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Publisher:
Copernicus Publications Publisher's website
Journal:
Atmospheric Chemistry and Physics Journal website
Volume:
13
Issue:
17
Pages:
8879-8914
Publication date:
2013-09-05
Acceptance date:
2013-07-15
DOI:
EISSN:
1680-7324
ISSN:
1680-7316
Source identifiers:
432692
Language:
English
Keywords:
Pubs id:
pubs:432692
UUID:
uuid:62da1b7b-3c4a-4111-bcfe-5fbd492957b1
Local pid:
pubs:432692
Deposit date:
2013-11-17

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